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596 results for “Harvard Forest LTER”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2002-07-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2002-07-30 (15:08:04.5940130Z) by Landsat 5, row 30, path 13. Cloud cover was 50 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302002211LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2002-10-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2002-10-18 (15:05:43.0710440Z) by Landsat 5, row 30, path 13. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302002291EDC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:00:19Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2002-11-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2002-11-03 (15:05:19.6500690Z) by Landsat 5, row 30, path 13. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302002307LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:23Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2002-12-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2002-12-21 (15:04:40.2550380Z) by Landsat 5, row 30, path 13. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302002355LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:58:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-01-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-01-22 (15:05:25.2450940Z) by Landsat 5, row 30, path 13. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003022LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-03-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-03-27 (15:06:58.5690560Z) by Landsat 5, row 30, path 13. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003086LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:04:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-04-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-04-28 (15:07:47.6380560Z) by Landsat 5, row 30, path 13. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003118LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:23Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-05-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-05-30 (15:08:23.4510190Z) by Landsat 5, row 30, path 13. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003150LGS02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:22:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-06-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-06-15 (15:08:42.1370190Z) by Landsat 5, row 30, path 13. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003166LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:04:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-07-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-07-01 (15:09:04.2050560Z) by Landsat 5, row 30, path 13. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003182LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-07-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-07-17 (15:09:20.0660380Z) by Landsat 5, row 30, path 13. Cloud cover was 24.13 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003198GNC04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-08-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-08-18 (15:09:55.0720190Z) by Landsat 5, row 30, path 13. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003230LGS01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:47Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-11-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-11-22 (15:11:19.4710440Z) by Landsat 5, row 30, path 13. Cloud cover was 11.84 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003326GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2003-12-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2003-12-08 (15:11:24.6160190Z) by Landsat 5, row 30, path 13. Cloud cover was 31.22 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302003342GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:28Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-01-09
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-01-09 (15:11:40.0960060Z) by Landsat 5, row 30, path 13. Cloud cover was 26.14 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302004009GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-01-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-01-25 (15:11:43.8650380Z) by Landsat 5, row 30, path 13. Cloud cover was 21.8 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302004025GNC03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:05:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-02-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-02-10 (15:11:46.8490880Z) by Landsat 5, row 30, path 13. Cloud cover was 50.47 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302004041GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:44:18Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-02-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-02-26 (15:11:52.7040560Z) by Landsat 5, row 30, path 13. Cloud cover was 0.23 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302004057GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:01:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-03-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-03-29 (15:12:01.4650500Z) by Landsat 5, row 30, path 13. Cloud cover was 0.42 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302004089GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 2004-04-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 2004-04-30 (15:13:00.4030810Z) by Landsat 5, row 30, path 13. Cloud cover was 20.5 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50130302004121GNC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:02:36Z.
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